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✨ Features:

  • FastAPI application with operator endpoints (/order_status, /generate_invoice)
  • API Key authentication middleware
  • Structured logging with Loguru + CloudWatch integration
  • X-Ray tracing configuration
  • Pydantic v2 models with validation
  • Comprehensive test suite with pytest-asyncio

🐳 Infrastructure:

  • Docker containerization with Poetry
  • docker-compose for local development
  • AWS Lambda handler with Mangum
  • SAM template for serverless deployment
  • CloudWatch log groups configuration

🔧 DevOps & CI/CD:

  • GitHub Actions workflow with security scanning
  • Jenkins pipeline configuration
  • SonarQube integration for code quality
  • AWS ECR and AppRunner deployment

📁 Architecture:

  • Clean architecture with services layer
  • Modular structure (routers, services, auth, utils)
  • Environment configuration with python-dotenv
  • VS Code workspace configuration

🧪 Testing:

  • Async endpoint testing
  • Coverage reporting
  • Mock services for order and invoice management

This commit establishes the foundation for a production-ready FastAPI microservice with enterprise-grade observability, security, and deployment capabilities.

✨ Features:
- FastAPI application with operator endpoints (/order_status, /generate_invoice)
- API Key authentication middleware
- Structured logging with Loguru + CloudWatch integration
- X-Ray tracing configuration
- Pydantic v2 models with validation
- Comprehensive test suite with pytest-asyncio

🐳 Infrastructure:
- Docker containerization with Poetry
- docker-compose for local development
- AWS Lambda handler with Mangum
- SAM template for serverless deployment
- CloudWatch log groups configuration

🔧 DevOps & CI/CD:
- GitHub Actions workflow with security scanning
- Jenkins pipeline configuration
- SonarQube integration for code quality
- AWS ECR and AppRunner deployment

📁 Architecture:
- Clean architecture with services layer
- Modular structure (routers, services, auth, utils)
- Environment configuration with python-dotenv
- VS Code workspace configuration

🧪 Testing:
- Async endpoint testing
- Coverage reporting
- Mock services for order and invoice management

This commit establishes the foundation for a production-ready FastAPI microservice
with enterprise-grade observability, security, and deployment capabilities.
Copilot AI review requested due to automatic review settings July 20, 2025 00:26
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Pull Request Overview

This PR establishes a complete FastAPI microservice foundation for the NeuroBank platform with comprehensive AWS serverless integration, CI/CD pipelines, and production-ready infrastructure. The implementation includes operator endpoints for order status checking and invoice generation with proper authentication, logging, and observability features.

  • FastAPI application with structured architecture including routers, services, auth middleware, and comprehensive testing
  • Complete AWS serverless deployment setup with SAM templates, Lambda handlers, and CloudWatch integration
  • Full CI/CD pipeline with GitHub Actions, Jenkins configuration, and Docker containerization

Reviewed Changes

Copilot reviewed 20 out of 27 changed files in this pull request and generated 9 comments.

Show a summary per file
File Description
app/main.py Core FastAPI application setup with CORS middleware and health endpoint
app/routers/operator.py Operator API endpoints with Pydantic models and authentication
app/services/ Business logic services for order status and invoice generation
app/auth/dependencies.py API key authentication middleware
template.yaml AWS SAM template for serverless deployment
.github/workflows/ci-cd.yml Complete CI/CD pipeline with testing, security scanning, and AWS deployment
pyproject.toml Poetry configuration with FastAPI and AWS dependencies


ApiKey:
Type: String
Default: mi-super-secret-key-2025
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The default API key is hardcoded and appears to be a placeholder. This creates a security risk as it could be deployed with this weak default value. Consider removing the default value to force explicit configuration during deployment.

Suggested change
Default: mi-super-secret-key-2025

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Comment on lines +14 to +17
# CORS (ajusta origins según tu caso)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
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CORS is configured to allow all origins with wildcard '*'. This is insecure for production environments. Consider restricting to specific domains or using environment-based configuration.

Suggested change
# CORS (ajusta origins según tu caso)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
import os
# CORS (ajusta origins según tu caso)
if os.getenv("ENV", "development") == "production":
allowed_origins = ["https://trusted-domain.com", "https://another-trusted-domain.com"]
else:
allowed_origins = ["*"]
app.add_middleware(
CORSMiddleware,
allow_origins=allowed_origins,

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sonar.projectName=NeuroBank FastAPI Toolkit
sonar.projectVersion=0.1.0

# Código fuente
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[nitpick] The comment is in Spanish ('Código fuente') while the rest of the codebase appears to be in English. Consider using English for consistency: '# Source code'.

Suggested change
# Código fuente
# Source code

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def init_logging():
"""
Configura Loguru para logging estructurado con CloudWatch.
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[nitpick] The docstring is in Spanish. For consistency with the rest of the codebase, consider using English: 'Configures Loguru for structured logging with CloudWatch.'

Suggested change
Configura Loguru para logging estructurado con CloudWatch.
Configures Loguru for structured logging with CloudWatch.

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[tool.poetry]
name = "neurobank-fastapi-toolkit"
version = "0.1.0"
description = "Backend de operadores reales (FASE 2)"
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[nitpick] The description is in Spanish. Consider using English for consistency: 'Backend for real operators (PHASE 2)' or similar.

Suggested change
description = "Backend de operadores reales (FASE 2)"
description = "Backend for real operators (PHASE 2)"

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if x_api_key != API_KEY:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="API key inválida",
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[nitpick] The error message is in Spanish. Consider using English for consistency: 'Invalid API key'.

Suggested change
detail="API key inválida",
detail="Invalid API key",

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ports:
- "8000:8000"
environment:
API_KEY: secret
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The API key is hardcoded as 'secret' in the docker-compose file. This creates a security risk. Consider using environment variables or Docker secrets for sensitive configuration.

Suggested change
API_KEY: secret
API_KEY: ${API_KEY}

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from httpx import AsyncClient
from app.main import app

API_KEY = "secret" # Debe coincidir con tu .env
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[nitpick] The comment is in Spanish ('Debe coincidir con tu .env'). Consider using English for consistency: '# Must match your .env file'.

Suggested change
API_KEY = "secret" # Debe coincidir con tu .env
API_KEY = "secret" # Must match your .env file

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from fastapi import Header, HTTPException, status
from dotenv import load_dotenv

load_dotenv() # Carga variables de .env
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[nitpick] The comment is in Spanish ('Carga variables de .env'). Consider using English for consistency: '# Load variables from .env'.

Suggested change
load_dotenv() # Carga variables de .env
load_dotenv() # Load variables from .env

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@Neiland85 Neiland85 closed this Jul 20, 2025
@Neiland85 Neiland85 deleted the feature/initial-fastapi-structure branch July 20, 2025 01:14
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2 participants